Symbolic
Index
API
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
A
adjust_outputs() (symbolic_pymc.theano.opt.KanrenRelationSub method)
as_list() (symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape method)
attach_feature() (symbolic_pymc.theano.opt.FunctionGraph method)
attr (symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef attribute)
attr() (symbolic_pymc.tensorflow.meta.TFlowMetaOpDef property)
available_names (symbolic_pymc.theano.printing.VariableWithShapePrinter attribute)
B
base (symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaOp attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaOpDef attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape attribute)
(symbolic_pymc.theano.meta.TheanoMetaApply attribute)
(symbolic_pymc.theano.meta.TheanoMetaConstant attribute)
(symbolic_pymc.theano.meta.TheanoMetaDimShuffle attribute)
(symbolic_pymc.theano.meta.TheanoMetaElemwise attribute)
(symbolic_pymc.theano.meta.TheanoMetaOp attribute)
(symbolic_pymc.theano.meta.TheanoMetaRandomStateType attribute)
(symbolic_pymc.theano.meta.TheanoMetaScalarSharedVariable attribute)
(symbolic_pymc.theano.meta.TheanoMetaScan attribute)
(symbolic_pymc.theano.meta.TheanoMetaSharedVariable attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorConstant attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorSharedVariable attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorType attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorVariable attribute)
(symbolic_pymc.theano.meta.TheanoMetaType attribute)
(symbolic_pymc.theano.meta.TheanoMetaVariable attribute)
base() (symbolic_pymc.meta.MetaSymbol property)
base_arguments() (symbolic_pymc.meta.MetaVariable property)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor property)
(symbolic_pymc.theano.meta.TheanoMetaVariable property)
base_operator() (symbolic_pymc.meta.MetaVariable property)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor property)
(symbolic_pymc.theano.meta.TheanoMetaVariable property)
base_subclasses() (symbolic_pymc.meta.MetaSymbol class method)
BernoulliRVType (class in symbolic_pymc.theano.random_variables)
BetaBinomialRVType (class in symbolic_pymc.theano.random_variables)
BetaRVType (class in symbolic_pymc.theano.random_variables)
BinomialRVType (class in symbolic_pymc.theano.random_variables)
broadcastable (symbolic_pymc.theano.meta.TheanoMetaTensorType attribute)
C
canonicalize() (in module symbolic_pymc.theano.utils)
car_MetaVariable() (in module symbolic_pymc.dispatch)
CategoricalRVType (class in symbolic_pymc.theano.random_variables)
CauchyRVType (class in symbolic_pymc.theano.random_variables)
cdr_MetaVariable() (in module symbolic_pymc.dispatch)
clone_get_equiv() (symbolic_pymc.theano.opt.FunctionGraph method)
compute_bcast() (symbolic_pymc.theano.ops.RandomVariable method)
concat() (in module symbolic_pymc.relations)
constant_neq() (in module symbolic_pymc.relations.theano.distributions)
convert_dist_to_rv_Bernoulli() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Beta() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_BetaBinomial() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Binomial() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Categorical() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Cauchy() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Dirichlet() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Exponential() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Gamma() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_HalfCauchy() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_HalfNormal() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_InverseGamma() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Multinomial() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_MvNormal() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Normal() (in module symbolic_pymc.theano.pymc3)
convert_dist_to_rv_Poisson() (in module symbolic_pymc.theano.pymc3)
create_state() (symbolic_pymc.theano.printing.PreamblePPrinter method)
D
data (symbolic_pymc.theano.meta.TheanoMetaConstant attribute)
(symbolic_pymc.theano.meta.TheanoMetaSharedVariable attribute)
default_output (symbolic_pymc.theano.ops.RandomVariable attribute)
(symbolic_pymc.theano.random_variables.Observed attribute)
default_output() (symbolic_pymc.tensorflow.meta.TFlowMetaOp property)
default_printer (symbolic_pymc.theano.printing.VariableWithShapePrinter attribute)
DepthExceededException
dims (symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape attribute)
DirichletRVType (class in symbolic_pymc.theano.random_variables)
disable_auto_reification() (in module symbolic_pymc.meta)
dtype (symbolic_pymc.tensorflow.meta.TFlowMetaTensor attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorType attribute)
E
enable_lvar_defaults() (in module symbolic_pymc.meta)
eq_lvar() (in module symbolic_pymc.utils)
eval_and_reify_meta() (in module symbolic_pymc.theano.opt)
ExponentialRVType (class in symbolic_pymc.theano.random_variables)
F
format() (symbolic_pymc.tensorflow.printing.TFlowPrinter method)
frozen_attr() (symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef property)
FunctionGraph (class in symbolic_pymc.theano.opt)
G
GammaRVType (class in symbolic_pymc.theano.random_variables)
GenericSubtensorPrinter (class in symbolic_pymc.theano.printing)
get_metaopdef() (symbolic_pymc.tensorflow.meta.TFlowMetaOperator class method)
get_op_info() (symbolic_pymc.tensorflow.meta.MetaOpDefLibrary class method)
get_rv_observation() (in module symbolic_pymc.theano.utils)
grad() (symbolic_pymc.theano.ops.RandomVariable method)
(symbolic_pymc.theano.random_variables.Observed method)
graph_equal() (in module symbolic_pymc.theano.utils)
graph_model() (in module symbolic_pymc.theano.pymc3)
H
HalfCauchyRVType (class in symbolic_pymc.theano.random_variables)
HalfNormalRVType (class in symbolic_pymc.theano.random_variables)
HashableNDArray (class in symbolic_pymc.utils)
I
indented() (symbolic_pymc.tensorflow.printing.TFlowPrinter method)
index (symbolic_pymc.theano.meta.TheanoMetaVariable attribute)
infer_shape() (symbolic_pymc.theano.ops.RandomVariable method)
info (symbolic_pymc.theano.meta.TheanoMetaScan attribute)
inplace (symbolic_pymc.theano.meta.TheanoMetaDimShuffle attribute)
input_args() (symbolic_pymc.tensorflow.meta.TFlowMetaOperator method)
input_broadcastable (symbolic_pymc.theano.meta.TheanoMetaDimShuffle attribute)
inputs (symbolic_pymc.tensorflow.meta.TFlowMetaOp attribute)
(symbolic_pymc.theano.meta.TheanoMetaApply attribute)
(symbolic_pymc.theano.meta.TheanoMetaScan attribute)
InvGammaRVType (class in symbolic_pymc.theano.random_variables)
is_meta() (symbolic_pymc.meta.MetaSymbol class method)
K
KanrenRelationSub (class in symbolic_pymc.theano.opt)
L
latex_print_array() (in module symbolic_pymc.theano.printing)
load_dispatcher() (in module symbolic_pymc.tensorflow.meta)
(in module symbolic_pymc.theano.meta)
lower_op_name_to_raw (symbolic_pymc.tensorflow.meta.MetaOpDefLibrary attribute)
lvar_ignore_ne() (in module symbolic_pymc.utils)
M
make_node() (symbolic_pymc.theano.ops.RandomVariable method)
(symbolic_pymc.theano.random_variables.BernoulliRVType method)
(symbolic_pymc.theano.random_variables.BetaBinomialRVType method)
(symbolic_pymc.theano.random_variables.BetaRVType method)
(symbolic_pymc.theano.random_variables.BinomialRVType method)
(symbolic_pymc.theano.random_variables.CategoricalRVType method)
(symbolic_pymc.theano.random_variables.CauchyRVType method)
(symbolic_pymc.theano.random_variables.DirichletRVType method)
(symbolic_pymc.theano.random_variables.ExponentialRVType method)
(symbolic_pymc.theano.random_variables.GammaRVType method)
(symbolic_pymc.theano.random_variables.HalfCauchyRVType method)
(symbolic_pymc.theano.random_variables.HalfNormalRVType method)
(symbolic_pymc.theano.random_variables.InvGammaRVType method)
(symbolic_pymc.theano.random_variables.MultinomialRVType method)
(symbolic_pymc.theano.random_variables.MvNormalRVType method)
(symbolic_pymc.theano.random_variables.NormalRVType method)
(symbolic_pymc.theano.random_variables.Observed method)
(symbolic_pymc.theano.random_variables.PoissonRVType method)
(symbolic_pymc.theano.random_variables.TruncExponentialRVType method)
(symbolic_pymc.theano.random_variables.UniformRVType method)
make_opdef_sig() (symbolic_pymc.tensorflow.meta.MetaOpDefLibrary class method)
max_line_height (symbolic_pymc.theano.printing.VariableWithShapePrinter attribute)
max_line_width (symbolic_pymc.theano.printing.VariableWithShapePrinter attribute)
max_preamble_width (symbolic_pymc.theano.printing.PreamblePPrinter attribute)
meta_diff() (in module symbolic_pymc.utils)
meta_diff_seq() (in module symbolic_pymc.utils)
meta_reify_iter() (in module symbolic_pymc.meta)
MetaOp (class in symbolic_pymc.meta)
MetaOpDefLibrary (class in symbolic_pymc.tensorflow.meta)
MetaReificationError
MetaSymbol (class in symbolic_pymc.meta)
MetaSymbolType (class in symbolic_pymc.meta)
metatize() (in module symbolic_pymc.meta)
MetaVariable (class in symbolic_pymc.meta)
model_graph() (in module symbolic_pymc.theano.pymc3)
mt_diag() (in module symbolic_pymc.theano.meta)
mt_zeros() (in module symbolic_pymc.theano.meta)
MultinomialRVType (class in symbolic_pymc.theano.random_variables)
MvNormalRVType (class in symbolic_pymc.theano.random_variables)
N
name (symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef attribute)
(symbolic_pymc.theano.meta.TheanoMetaTensorType attribute)
(symbolic_pymc.theano.meta.TheanoMetaVariable attribute)
name() (symbolic_pymc.tensorflow.meta.TFlowMetaOp property)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor property)
namespaces (symbolic_pymc.tensorflow.meta.TFlowMetaAccessor attribute)
(symbolic_pymc.theano.meta.TheanoMetaAccessor attribute)
ndim() (symbolic_pymc.theano.meta.TheanoMetaTensorConstant property)
(symbolic_pymc.theano.meta.TheanoMetaTensorVariable property)
ndims() (symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape property)
new_order (symbolic_pymc.theano.meta.TheanoMetaDimShuffle attribute)
nin() (symbolic_pymc.theano.meta.TheanoMetaApply property)
node_def (symbolic_pymc.tensorflow.meta.TFlowMetaOp attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator attribute)
non_obs_walko() (in module symbolic_pymc.relations.theano)
nondeterministic (symbolic_pymc.theano.ops.RandomVariable attribute)
normal_normal_regression() (in module symbolic_pymc.relations.theano.linalg)
normal_qr_transform() (in module symbolic_pymc.relations.theano.linalg)
normalize_tf_graph() (in module symbolic_pymc.tensorflow.graph)
NormalRVPrinter (class in symbolic_pymc.theano.printing)
NormalRVType (class in symbolic_pymc.theano.random_variables)
nout() (symbolic_pymc.theano.meta.TheanoMetaApply property)
O
obj() (symbolic_pymc.meta.MetaSymbol property)
objects() (symbolic_pymc.utils.UnequalMetaParts property)
ObservationPrinter (class in symbolic_pymc.theano.printing)
Observed (class in symbolic_pymc.theano.random_variables)
op (symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor attribute)
(symbolic_pymc.theano.meta.TheanoMetaApply attribute)
op_args_to_operation_inputs() (symbolic_pymc.tensorflow.meta.TFlowMetaOperator method)
op_def (symbolic_pymc.tensorflow.meta.TFlowMetaOp attribute)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator attribute)
opdef_signatures (symbolic_pymc.tensorflow.meta.MetaOpDefLibrary attribute)
OpDefFactoryType (class in symbolic_pymc.tensorflow.meta)
optimize_graph() (in module symbolic_pymc.theano.utils)
output_meta_types() (symbolic_pymc.meta.MetaOp method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator method)
(symbolic_pymc.theano.meta.TheanoMetaOp method)
outputs (symbolic_pymc.theano.meta.TheanoMetaScan attribute)
outputs() (symbolic_pymc.tensorflow.meta.TFlowMetaOp property)
(symbolic_pymc.theano.meta.TheanoMetaApply property)
owner (symbolic_pymc.theano.meta.TheanoMetaVariable attribute)
P
param_supp_shape_fn() (in module symbolic_pymc.theano.ops)
path() (symbolic_pymc.utils.UnequalMetaParts property)
perform() (symbolic_pymc.theano.ops.RandomVariable method)
(symbolic_pymc.theano.random_variables.Observed method)
PoissonRVType (class in symbolic_pymc.theano.random_variables)
PreamblePPrinter (class in symbolic_pymc.theano.printing)
print() (symbolic_pymc.tensorflow.printing.TFlowPrinter method)
print_name (symbolic_pymc.theano.random_variables.BernoulliRVType attribute)
(symbolic_pymc.theano.random_variables.BetaBinomialRVType attribute)
(symbolic_pymc.theano.random_variables.BetaRVType attribute)
(symbolic_pymc.theano.random_variables.BinomialRVType attribute)
(symbolic_pymc.theano.random_variables.CategoricalRVType attribute)
(symbolic_pymc.theano.random_variables.CauchyRVType attribute)
(symbolic_pymc.theano.random_variables.DirichletRVType attribute)
(symbolic_pymc.theano.random_variables.ExponentialRVType attribute)
(symbolic_pymc.theano.random_variables.GammaRVType attribute)
(symbolic_pymc.theano.random_variables.HalfCauchyRVType attribute)
(symbolic_pymc.theano.random_variables.HalfNormalRVType attribute)
(symbolic_pymc.theano.random_variables.InvGammaRVType attribute)
(symbolic_pymc.theano.random_variables.MultinomialRVType attribute)
(symbolic_pymc.theano.random_variables.MvNormalRVType attribute)
(symbolic_pymc.theano.random_variables.NormalRVType attribute)
(symbolic_pymc.theano.random_variables.PoissonRVType attribute)
(symbolic_pymc.theano.random_variables.TruncExponentialRVType attribute)
(symbolic_pymc.theano.random_variables.UniformRVType attribute)
println() (symbolic_pymc.tensorflow.printing.TFlowPrinter method)
process() (symbolic_pymc.theano.printing.GenericSubtensorPrinter method)
(symbolic_pymc.theano.printing.ObservationPrinter method)
(symbolic_pymc.theano.printing.PreamblePPrinter method)
(symbolic_pymc.theano.printing.RandomVariablePrinter method)
(symbolic_pymc.theano.printing.VariableWithShapePrinter class method)
process_graph() (symbolic_pymc.theano.printing.PreamblePPrinter method)
process_param() (symbolic_pymc.theano.printing.NormalRVPrinter method)
(symbolic_pymc.theano.printing.RandomVariablePrinter method)
process_shape_info() (symbolic_pymc.theano.printing.VariableWithShapePrinter class method)
process_variable_name() (symbolic_pymc.theano.printing.VariableWithShapePrinter class method)
pymc3_var_to_rv() (in module symbolic_pymc.theano.pymc3)
R
R_op() (symbolic_pymc.theano.ops.RandomVariable method)
RandomVariable (class in symbolic_pymc.theano.ops)
RandomVariablePrinter (class in symbolic_pymc.theano.printing)
rands() (symbolic_pymc.meta.MetaSymbol property)
rank() (symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape property)
reason() (symbolic_pymc.utils.UnequalMetaParts property)
rec_conv_to_rv() (in module symbolic_pymc.theano.pymc3)
reentrant (symbolic_pymc.theano.opt.KanrenRelationSub attribute)
reify() (symbolic_pymc.meta.MetaSymbol method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOp method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOpDef method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator method)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor method)
(symbolic_pymc.theano.meta.TheanoMetaApply method)
(symbolic_pymc.theano.meta.TheanoMetaVariable method)
replace() (symbolic_pymc.theano.opt.FunctionGraph method)
replace_input_nodes() (in module symbolic_pymc.theano.utils)
reset() (symbolic_pymc.meta.MetaOp method)
(symbolic_pymc.meta.MetaSymbol method)
(symbolic_pymc.meta.MetaVariable method)
(symbolic_pymc.tensorflow.meta.TFlowMetaNodeDef method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOp method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOpDef method)
(symbolic_pymc.tensorflow.meta.TFlowMetaOperator method)
(symbolic_pymc.tensorflow.meta.TFlowMetaSymbol method)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensor method)
(symbolic_pymc.tensorflow.meta.TFlowMetaTensorShape method)
(symbolic_pymc.theano.meta.TheanoMetaApply method)
(symbolic_pymc.theano.meta.TheanoMetaConstant method)
(symbolic_pymc.theano.meta.TheanoMetaDimShuffle method)
(symbolic_pymc.theano.meta.TheanoMetaElemwise method)
(symbolic_pymc.theano.meta.TheanoMetaOp method)
(symbolic_pymc.theano.meta.TheanoMetaRandomStateType method)
(symbolic_pymc.theano.meta.TheanoMetaScalarSharedVariable method)
(symbolic_pymc.theano.meta.TheanoMetaScan method)
(symbolic_pymc.theano.meta.TheanoMetaSharedVariable method)
(symbolic_pymc.theano.meta.TheanoMetaSymbol method)
(symbolic_pymc.theano.meta.TheanoMetaTensorConstant method)
(symbolic_pymc.theano.meta.TheanoMetaTensorSharedVariable method)
(symbolic_pymc.theano.meta.TheanoMetaTensorType method)
(symbolic_pymc.theano.meta.TheanoMetaTensorVariable method)
(symbolic_pymc.theano.meta.TheanoMetaType method)
(symbolic_pymc.theano.meta.TheanoMetaVariable method)
S
scale_loc_transform() (in module symbolic_pymc.relations.theano.distributions)
shape() (symbolic_pymc.tensorflow.meta.TFlowMetaTensor property)
strict (symbolic_pymc.theano.meta.TheanoMetaSharedVariable attribute)
subgraph_add() (symbolic_pymc.tensorflow.printing.TFlowPrinter method)
symbolic_pymc (module)
symbolic_pymc.dispatch (module)
symbolic_pymc.meta (module)
symbolic_pymc.relations (module)
symbolic_pymc.relations.tensorflow (module)
symbolic_pymc.relations.theano (module)
symbolic_pymc.relations.theano.conjugates (module)
symbolic_pymc.relations.theano.distributions (module)
symbolic_pymc.relations.theano.linalg (module)
symbolic_pymc.tensorflow (module)
symbolic_pymc.tensorflow.dispatch (module)
symbolic_pymc.tensorflow.graph (module)
symbolic_pymc.tensorflow.meta (module)
symbolic_pymc.tensorflow.printing (module)
symbolic_pymc.theano (module)
symbolic_pymc.theano.dispatch (module)
symbolic_pymc.theano.meta (module)
symbolic_pymc.theano.ops (module)
symbolic_pymc.theano.opt (module)
symbolic_pymc.theano.printing (module)
symbolic_pymc.theano.pymc3 (module)
symbolic_pymc.theano.random_variables (module)
symbolic_pymc.theano.utils (module)
symbolic_pymc.utils (module)
T
tf_dprint() (in module symbolic_pymc.tensorflow.printing)
TFlowMetaAccessor (class in symbolic_pymc.tensorflow.meta)
TFlowMetaNodeDef (class in symbolic_pymc.tensorflow.meta)
TFlowMetaOp (class in symbolic_pymc.tensorflow.meta)
TFlowMetaOpDef (class in symbolic_pymc.tensorflow.meta)
TFlowMetaOperator (class in symbolic_pymc.tensorflow.meta)
TFlowMetaSymbol (class in symbolic_pymc.tensorflow.meta)
TFlowMetaTensor (class in symbolic_pymc.tensorflow.meta)
TFlowMetaTensorShape (class in symbolic_pymc.tensorflow.meta)
TFlowPrinter (class in symbolic_pymc.tensorflow.printing)
TheanoMetaAccessor (class in symbolic_pymc.theano.meta)
TheanoMetaApply (class in symbolic_pymc.theano.meta)
TheanoMetaConstant (class in symbolic_pymc.theano.meta)
TheanoMetaDimShuffle (class in symbolic_pymc.theano.meta)
TheanoMetaElemwise (class in symbolic_pymc.theano.meta)
TheanoMetaOp (class in symbolic_pymc.theano.meta)
TheanoMetaOpType (class in symbolic_pymc.theano.meta)
TheanoMetaRandomStateType (class in symbolic_pymc.theano.meta)
TheanoMetaScalarSharedVariable (class in symbolic_pymc.theano.meta)
TheanoMetaScan (class in symbolic_pymc.theano.meta)
TheanoMetaSharedVariable (class in symbolic_pymc.theano.meta)
TheanoMetaSymbol (class in symbolic_pymc.theano.meta)
TheanoMetaTensorConstant (class in symbolic_pymc.theano.meta)
TheanoMetaTensorSharedVariable (class in symbolic_pymc.theano.meta)
TheanoMetaTensorType (class in symbolic_pymc.theano.meta)
TheanoMetaTensorVariable (class in symbolic_pymc.theano.meta)
TheanoMetaType (class in symbolic_pymc.theano.meta)
TheanoMetaVariable (class in symbolic_pymc.theano.meta)
transform() (symbolic_pymc.theano.opt.KanrenRelationSub method)
TruncExponentialRVType (class in symbolic_pymc.theano.random_variables)
tt_get_values() (in module symbolic_pymc.theano.pymc3)
type (symbolic_pymc.theano.meta.TheanoMetaVariable attribute)
type() (symbolic_pymc.tensorflow.meta.TFlowMetaOp property)
U
UnequalMetaParts (class in symbolic_pymc.utils)
UniformRVType (class in symbolic_pymc.theano.random_variables)
unify_MetaSymbol() (in module symbolic_pymc.dispatch)
update_name_suffix() (in module symbolic_pymc.relations.theano.linalg)
V
validate_objs() (symbolic_pymc.tensorflow.meta.TFlowMetaSymbol method)
value_index (symbolic_pymc.tensorflow.meta.TFlowMetaTensor attribute)
VariableWithShapePrinter (class in symbolic_pymc.theano.printing)
